DeepScaleR vs. Mathstral Comparison


DeepScaleR Agentica Project	Mathstral Mistral AI	+	+
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About DeepScaleR is a 1.5-billion-parameter language model fine-tuned from DeepSeek-R1-Distilled-Qwen-1.5B using distributed reinforcement learning and a novel iterative context-lengthening strategy that gradually increases its context window from 8K to 24K tokens during training. It was trained on ~40,000 carefully curated mathematical problems drawn from competition-level datasets like AIME (1984–2023), AMC (pre-2023), Omni-MATH, and STILL. DeepScaleR achieves 43.1% accuracy on AIME 2024, a roughly 14.3 percentage point boost over the base model, and surpasses the performance of the proprietary O1-Preview model despite its much smaller size. It also posts strong results on a suite of math benchmarks (e.g., MATH-500, AMC 2023, Minerva Math, OlympiadBench), demonstrating that small, efficient models tuned with RL can match or exceed larger baselines on reasoning tasks.	About As a tribute to Archimedes, whose 2311th anniversary we’re celebrating this year, we are proud to release our first Mathstral model, a specific 7B model designed for math reasoning and scientific discovery. The model has a 32k context window published under the Apache 2.0 license. We’re contributing Mathstral to the science community to bolster efforts in advanced mathematical problems requiring complex, multi-step logical reasoning. The Mathstral release is part of our broader effort to support academic projects, it was produced in the context of our collaboration with Project Numina. Akin to Isaac Newton in his time, Mathstral stands on the shoulders of Mistral 7B and specializes in STEM subjects. It achieves state-of-the-art reasoning capacities in its size category across various industry-standard benchmarks. In particular, it achieves 56.6% on MATH and 63.47% on MMLU, with the following MMLU performance difference by subject between Mathstral 7B and Mistral 7B.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Researchers, students, and developers interested in an AI model capable of mathematical reasoning and logic tasks without requiring heavy hardware	Audience Individuals focused on mathematical research looking for an AI tool to enhance their problem-solving capabilities
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Open source Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Agentica Project Founded: 2025 United States agentica-project.com	Company Information Mistral AI Founded: 2023 France mistral.ai/news/mathstral/
Alternatives DeepCoder Agentica Project	Alternatives Mistral Large 2 Mistral AI
Phi-4-reasoning-plus Microsoft	Solar Pro 2 Upstage AI
Phi-4-mini-reasoning Microsoft	Mistral NeMo Mistral AI
Phi-4-reasoning Microsoft	Claude Opus 3 Anthropic
Athene-V2 Nexusflow View All	Mistral Large Mistral AI View All
Categories AI Models Supported Large Language Models Supported	Categories AI Models Supported Foundation Models Supported Large Language Models Supported

Integrations 1min.AI Not Supported DataChain Not Supported Diaflow Not Supported Graydient AI Not Supported Groq Not Supported Klee Not Supported Memo AI Not Supported Microsoft Foundry Agent Service Not Supported MindMac Not Supported Ministral 3B Not Supported NexalAI Not Supported Noma Not Supported OpenLIT Not Supported Overseer AI Not Supported PromptPal Not Supported Superinterface Not Supported Symflower Not Supported Tune AI Not Supported Verta Not Supported bolt.diy Not Supported Show More Integrations	Integrations 1min.AI Supported DataChain Supported Diaflow Supported Graydient AI Supported Groq Supported Klee Supported Memo AI Supported Microsoft Foundry Agent Service Supported MindMac Supported Ministral 3B Supported NexalAI Supported Noma Supported OpenLIT Supported Overseer AI Supported PromptPal Supported Superinterface Supported Symflower Supported Tune AI Supported Verta Supported bolt.diy Supported Show More Integrations View All 86 Integrations
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